PC-SAC: A method for high-resolution 3D genome reconstruction from low-resolution Hi-C data.

ABSTRACT: The three-dimensional (3D) organization of the genome is crucial for gene regulation, with disruptions linked to various diseases. High-throughput Chromosome Conformation Capture (Hi-C) and related technologies have advanced our understanding of 3D genome organization by mapping interactions between distal genomic regions. However, capturing enhancer-promoter interactions at high resolution remains challenging due to the high sequencing depth required. We introduce pC-SAC (probabilistically Constrained Self-Avoiding Chromatin), a novel computational method for producing accurate high-resolution Hi-C matrices from low-resolution data. pC-SAC uses adaptive importance sampling with sequential Monte Carlo to generate ensembles of 3D chromatin chains that satisfy physical constraints derived fr

SUBMITTER: Angel JC 

PROVIDER: S-EPMC11995266 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature